-
1 Comment
NISSHIN GROUP HOLDINGS Company, Limited is currently in a long term uptrend where the price is trading 2.2% above its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.3.
NISSHIN GROUP HOLDINGS Company, Limited's total revenue rose by 20.5% to $22B since the same quarter in the previous year.
Its net income has increased by 102.6% to $1B since the same quarter in the previous year.
Based on the above factors, NISSHIN GROUP HOLDINGS Company, Limited gets an overall score of 4/5.
| Sector | Real Estate |
|---|---|
| Industry | Real Estate Services |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3677900007 |
| Market Cap | 34B |
|---|---|
| Target Price | None |
| Beta | 0.18 |
| Dividend Yield | 3.1% |
| PE Ratio | 8.47 |
NISSHIN GROUP HOLDINGS Company, Limited plans, develops, constructs, manages, and sells condominiums in Japan. It is involved in the rental of real estate businesses; building management, management of rental properties, and other related services; and civil engineering works. The company also engages in the brokerage, rental brokerage, and renovation activities; real estate stock and securitization businesses; and purchase, resale, and renovation business of second-hand condominiums. In addition, it offers mortgage guarantees and housing loans to condominium buyers; plans, develops, and sells detached houses; and constructs apartment buildings. NISSHIN GROUP HOLDINGS Company, Limited was incorporated in 1975 and is headquartered in Shinjuku, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8881.TSE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2026